box_cxcywh_to_xyxy

Converts bounding boxes from \((c_x, c_y, w, h)\) format to \((x_{min}, y_{min}, x_{max}, y_{max})\) format.
\((c_x, c_y)\) refers to center of bounding box
(w, h) are width and height of bounding box

Provides access to datasets, models and preprocessing
facilities for deep learning with images. Integrates seamlessly
with the 'torch' package and it's 'API' borrows heavily from
'PyTorch' vision package.

Daniel Falbel

torchvision

Models, Datasets and Transformations for Images

Christophe Regouby

Akanksha Koshti

Derrick Richard

 RStudio

box_cxcywh_to_xyxy function

<dl><dt>boxes</dt>
<dd>(Tensor[N, 4]): boxes in \((c_x, c_y, w, h)\) format which will be converted.</dd></dl>

Arguments

box_cxcywh_to_xyxy — box_cxcywh_to_xyxy

<dl>

<dt>boxes</dt>
<dd>(Tensor[N, 4]): boxes in \((c_x, c_y, w, h)\) format which will be converted.</dd>

</dl>

box_cxcywh_to_xyxy: box_cxcywh_to_xyxy

Description

Usage

Value

Arguments